{"id":"https://openalex.org/W2582592860","doi":"https://doi.org/10.1109/icdim.2016.7829782","title":"Using rate equation for modeling triad dynamics on Instagram","display_name":"Using rate equation for modeling triad dynamics on Instagram","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2582592860","doi":"https://doi.org/10.1109/icdim.2016.7829782","mag":"2582592860"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2016.7829782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2016.7829782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eleventh International Conference on Digital Information Management (ICDIM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036710484","display_name":"Mariusz \u041aamola","orcid":"https://orcid.org/0000-0003-1550-5901"},"institutions":[{"id":"https://openalex.org/I4210136276","display_name":"NASK National Research Institute","ror":"https://ror.org/03ajsaw82","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210136276"]},{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Mariusz Kamola","raw_affiliation_strings":["Institute of Control and Computation Engineering, Warsaw University of Technology, Warsaw, Poland","Research and Academic Computer Network, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Control and Computation Engineering, Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]},{"raw_affiliation_string":"Research and Academic Computer Network, Warsaw, Poland","institution_ids":["https://openalex.org/I4210136276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036710484"],"corresponding_institution_ids":["https://openalex.org/I108403487","https://openalex.org/I4210136276"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15173858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1001","issue":null,"first_page":"101","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/triad","display_name":"Triad (sociology)","score":0.9184389114379883},{"id":"https://openalex.org/keywords/crawling","display_name":"Crawling","score":0.6068018078804016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5380792617797852},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5272690057754517},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.513717770576477},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.47982335090637207},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.41394326090812683},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3265073299407959},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18448731303215027},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12824755907058716},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.07723841071128845}],"concepts":[{"id":"https://openalex.org/C176038584","wikidata":"https://www.wikidata.org/wiki/Q626432","display_name":"Triad (sociology)","level":2,"score":0.9184389114379883},{"id":"https://openalex.org/C100368936","wikidata":"https://www.wikidata.org/wiki/Q1411725","display_name":"Crawling","level":2,"score":0.6068018078804016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5380792617797852},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5272690057754517},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.513717770576477},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.47982335090637207},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.41394326090812683},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3265073299407959},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18448731303215027},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12824755907058716},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.07723841071128845},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdim.2016.7829782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2016.7829782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eleventh International Conference on Digital Information Management (ICDIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W39300343","https://openalex.org/W204107464","https://openalex.org/W1970545454","https://openalex.org/W1995907191","https://openalex.org/W2008620264","https://openalex.org/W2017557586","https://openalex.org/W2109469951","https://openalex.org/W2183283485","https://openalex.org/W2334311856","https://openalex.org/W2408531712","https://openalex.org/W2609959899","https://openalex.org/W4234057457","https://openalex.org/W6601576253","https://openalex.org/W6608264035","https://openalex.org/W6685688386","https://openalex.org/W6737207859"],"related_works":["https://openalex.org/W4393220254","https://openalex.org/W4321258516","https://openalex.org/W2051833850","https://openalex.org/W4287845917","https://openalex.org/W3156164993","https://openalex.org/W2705349940","https://openalex.org/W2385015894","https://openalex.org/W2171573941","https://openalex.org/W1985099425","https://openalex.org/W4317382653"],"abstract_inverted_index":{"Triadic":[0],"analysis":[1],"is":[2,23,80],"a":[3,12,35],"convenient":[4],"way":[5],"to":[6],"assess":[7],"structure":[8],"and":[9,28,53,77],"stability":[10,17],"of":[11,18,40,49,58,74,83,85,92,94],"graph.":[13],"This":[14],"paper":[15],"verifies":[16],"one":[19],"triad":[20,42,51,60,66],"type":[21],"that":[22,41,50,64,78],"commonly":[24],"perceived":[25],"as":[26,71],"transient":[27],"unstable,":[29],"on":[30],"Instagram":[31],"subgraph,":[32],"reconstructed":[33],"by":[34],"specific":[36],"crawling":[37],"algorithm.":[38],"Dynamics":[39],"transition":[43,67],"has":[44],"been":[45],"examined,":[46],"wrt.":[47],"degrees":[48],"nodes":[52],"other":[54],"basic":[55],"structural":[56],"properties":[57],"the":[59,65,86],"neighborhood.":[61],"Results":[62],"show":[63],"can":[68,96],"be":[69,97],"modeled":[70],"rate":[72],"equation":[73],"order":[75],"2,":[76],"it":[79],"fairly":[81],"independent":[82],"any":[84],"considered":[87],"factors.":[88],"A":[89],"complete":[90],"model":[91],"dynamics":[93],"triads":[95],"further":[98],"used":[99],"in":[100,114],"graph":[101],"evolution":[102],"forecasting,":[103],"including":[104],"phenomena":[105],"like":[106],"opinion":[107],"spread":[108],"or":[109],"group":[110],"forming,":[111],"which":[112],"may,":[113],"turn,":[115],"affect":[116],"real-life":[117],"situations.":[118]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}